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Key skills for this role
Experiment Lifecycle Management: Own and govern the end-to-end experimentation pipeline. Ensure every initiative begins with a clearly defined hypothesis, measurable success criteria, and structured evaluation framework. Enforce disciplined kill/scale decisions based on performance outcomes.
Cross-Functional Coordination: Serve as the primary integration point between the five-person Stord Labs team and broader enterprise stakeholders, including product, engineering, operations leadership, and warehouse operations teams executing physical workflows.
Operational Alignment: Facilitate decision-making between operations and product leadership to transition validated technologies from lab environments into live production pilots and eventually enterprise-scale deployment.
Innovation Roadmap Management: Own and sequence a prioritized experimentation pipeline spanning robotics, automation, AI systems, and operational design improvements, balancing internal development and external vendor evaluations.
External Collaboration: Coordinate technical and operational engagement with frontier AI organizations, robotics providers, and academic institutions (including partners such as Georgia Tech) to test and validate next-generation logistics capabilities.
Systems Integration Coordination: Oversee integration testing across third-party automation systems, internal software platforms, human operators, and Stord’s WMS/OMS ecosystem.
Scaling Playbooks: Develop structured deployment frameworks and operational playbooks to ensure successful translation of validated lab innovations (e.g., co-mingled inventory strategies, multi-pass picking, predictive replenishment) into production environments.
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Customer & Executive Demonstrations: Partner with Marketing and Product teams to execute customer demo days and executive showcases highlighting emerging capabilities and validated innovations.
Pilot Program Management: Coordinate co-funded pilot programs with enterprise customers to test real operational challenges within the lab prior to broader rollout.
Prior experience in innovation labs, R&D environments, or advanced manufacturing/automation programs.
Familiarity with warehouse data ecosystems and system architectures (WMS, OMS, WES, WCS).
Exposure to data science, simulation, or digital twin initiatives supporting operational optimization or AI-driven forecasting.
Note: This role is not eligible for visa sponsorship or employment-based immigration support.
3PL fulfillment and supply-chain software company serving DTC, B2B, and omnichannel brands.
Visit company websiteJobs and hiring trendsFull-time
Senior · 8+ years experience
Remote
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